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Introduction Advanced chronic kidney disease (CKD) is common among patients with coronary artery disease (CAD), and angiotensin‑converting enzyme inhibitors (ACEI) or angiotensin‑receptor blockers (ARB) can improve cardiac and renal function, but whether ACEI/ARB therapy improves long-term prognosis remains unclear among these high-risk patients. Therefore, this research aimed to investigate the relationship between ACEI/ARB therapy and long-term prognosis among CAD patients with advanced CKD.Methods CAD patients with advanced CKD were included in five hospitals. Advanced CKD was defined as estimated glomerular filtration rate (eGFR)

Background Renal dysfunction leads to poor prognosis of patients with coronary artery disease (CAD). Current studies have reported the prognosis or mortality of various diseases using different estimated glomerular filtrate rate (eGFR) formulas, while the performance of these equations is unclear in CAD patients. We aim to evaluate the predict effect of creatinine-based eGFR (eGFRcr), cystatin C-based eGFR (eGFRcys), and both creatinine and cystatin C-based eGFR (eGFRcr-cys) in CAD patients.Methods A total of 23,178 patients with CAD were included from CIN-II cohort study. The association of eGFRcr, eGFRcys and eGFRcr-cys with cardiovascular and all-cause mortality was detected by Cox regression analysis. The predictive effect of eGFRcr, eGFRcys and eGFRcr-cys on mortality was assessed.Results During a median follow up of 4.3 years, totally 2051 patients (8.8%) experience all-cause mortality, of which 1427 patients (6.2%) died of cardiovascular disease. For the detection of cardiovascular mortality among CAD patients, eGFRcr-cys had high discriminatory capacity with area under the curve (AUC) in receiver operator characteristic analysis of 0.730, which was significantly better than eGFRcr (AUC = 0.707, p

Abstract Background Acute myocardial infarction (AMI) is characterized by inflammation, oxidative stress, and atherosclerosis, contributing to increased mortality risk. High-density lipoprotein (HDL) takes a crucial part in mitigating atherosclerosis and inflammation through its diverse functionalities. Conversely, fibrinogen is implicated in the development of atherosclerotic plaques. However, the mortality risk predictive capacity of fibrinogen to HDL-cholesterol ratio (FHR) in AMI patients remains unexplored. This research aimed to evaluate the effectiveness of FHR for mortality risk prediction in relation to AMI. Methods A retrospective study involving 13,221 AMI patients from the Cardiorenal ImprovemeNt II cohort (NCT05050877) was conducted. Baseline FHR levels were used to categorize patients into quartiles. The assessment of survival disparities among various groups was conducted by employing Kaplan‒Meier diagram. Cox regression was performed for investigating the correlation between FHR and adverse clinical outcomes, while the Fine-Gray model was applied to evaluate the subdistribution hazard ratios for cardiovascular death. Results Over a median follow-up of 4.66 years, 2309 patients experienced all-cause death, with 1007 deaths attributed to cardiovascular disease (CVD). The hazard ratio (HR) and its 95% confidence interval (CI) for cardiac and all-cause death among individuals in the top quartile of FHR were 2.70 (1.99–3.65) and 1.48 (1.26–1.75), respectively, in comparison to ones in the first quartile, after covariate adjustment. Restricted cubic spline analysis revealed that FHR was linearly correlated with all-cause mortality, irrespective of whether models were adjusted or unadjusted (all P for nonlinearity > 0.05). Conclusion AMI patients with increased baseline FHR values had higher all-cause and cardiovascular mortality, regardless of established CVD risk factors. FHR holds promise as a valuable tool for evaluating mortality risk in AMI patients. Trial registration The Cardiorenal ImprovemeNt II registry NCT05050877.

Abstract Although the role of T cells in tumor immunity and modulation of the tumor microenvironment (TME) has been extensively studied, their precise involvement in gastric adenocarcinoma remains inadequately explored. In this work, we analyzed the single-cell RNA sequencing data set in GSE183904 and identified 322 T cell marker genes using the “FindAllMarkers” method of the R package “Seurat”. STAD patients in the TCGA database were divided into high-risk and low-risk categories based on risk scores. The five-gene prediction signature based on T cell marker genes can predict the prognosis of gastric cancer patients with high accuracy. In the training cohort, the areas under the receiver operating characteristic (ROC) curve were 0.667, 0.73, and 0.818 at 1, 3, and 5 years. External validation of the predictive signature was also performed using multiple clinical subgroups and GEO cohorts. To help with practical application, a diagnostic model was created that shows values of 0.732, 0.752, and 0.816 for the relevant areas under the ROC curve at 1, 3, and 5 years. The T cell marker genes identified in this study may serve as potential therapeutic targets, and the developed predictive signatures and nomograms may aid in the clinical management of gastric cancer.

Abstract Background Acute kidney disease (AKD) has received increasing attention owing to its poor prognosis. However, few studies have investigated the trends in AKD incidence and prognosis among patients undergoing coronary angiography (CAG). Therefore, this study was designed to explore trends in the incidence and mortality of AKD following CAG in China. Methods We enrolled patients undergoing CAG using data of the Cardiorenal Improvement (CIN) cohort registry of Guangdong Provincial People's Hospital. Univariate and multivariate logistic regression analyses were applied to examine the incidence of AKD from 2008 to 2017. Mortality rates are presented as deaths per 1000 person‐years and were evaluated in univariate and multivariate Cox regression analyses. Results A total of 9665 patients (mean age: 61.6 ± 9.6 years, 40% women) were enrolled in the final analysis. From 2008 to 2017, the overall incidence and mortality of AKD were 19% and 323.0 per 1000 person‐years, respectively. The incidence of AKD decreased from 25% to 13% during 2008–2017 (adjusted odds ratio, 0.40; 95% confidence interval [CI], 0.31–0.51; p

AbstractAcute kidney injury (AKI) occurred in 12.8% of patients undergoing surgery and is associated with increased mortality. Chronic kidney disease (CKD) is a well-known risk for death and cardiovascular disease (CVD). Effects of AKI and CKD on patients undergoing coronary angiography (CAG) remain incompletely defined. The aim of our study was to investigate the relationship between acute and CKD and mortality in patients undergoing CAG. The cohort study included 49,194 patients in the multicenter cohort from January 2007 to December 2018. Cox regression analyses and Fine-Gray proportional subdistribution risk regression analysis are used to examine the association between kidney disease and all-cause and cardiovascular mortality. In the present study, 13,989 (28.4%) patients had kidney disease. During follow-up, 6144 patients died, of which 4508 (73.4%) were due to CVD. AKI without CKD (HR: 1.54, 95% CI: 1.36–1.74), CKD without AKI (HR: 2.02, 95% CI: 1.88–2.17), AKI with CKD (HR: 3.26, 95% CI: 2.90–3.66), and end-stage kidney disease (ESKD; HR: 5.63, 95% CI: 4.40–7.20) were significantly associated with all-cause mortality. Adjusted HR (95% CIs) for cardiovascular mortality was significantly elevated among patients with AKI without CKD (1.78 [1.54–2.06]), CKD without AKI (2.28 [2.09–2.49]), AKI with CKD (3.99 [3.47–4.59]), and ESKD (6.46 [4.93–8.46]). In conclusion, this study shows that acute or CKD is present in up to one-third of patients undergoing CAG and is associated with a substantially increased mortality. These findings highlight the importance of perioperative management of kidney function, especially in patients with CKD.Impact StatementWhat is already known on this subject? Acute kidney injury (AKI) occurred in 12.8% of patients undergoing surgery and is linked to a 22.2% increase in mortality. Chronic kidney disease (CKD) is a well-known risk for death and cardiovascular events. Effects of AKI and CKD on patients undergoing coronary angiography (CAG) remain incompletely defined.What do the results of this study add? This study shows that kidney disease is present in up to one-third of patients undergoing CAG and is associated with a substantially increased mortality. AKI and CKD are independent predicators for mortality in patients undergoing CAG.What are the implications of these findings for clinical practice and/or further research? These findings highlight the importance of perioperative management of kidney function, especially in patients with CKD.

Background: Left ventricular end-diastolic diameter (LVEDD) is a common parameter in echocardiography. Increased LVEDD is associated with left ventricular (LV) dysfunction. However, the association between LVEDD and all-cause mortality in patients with coronary artery disease (CAD) is uncertain. Methods: This study enrolled 33,147 patients with CAD who had undergone transthoracic echocardiography between January 2007 and December 2018 from the Cardiorenal Improvement study (NCT04407936). The patients were stratified into four groups based on the quartile of LVEDD (Quartile 1: LVEDD ≤43 mm, Quartile 2: 43 mm < LVEDD ≤46 mm, Quartile 3: 46 mm < LVEDD ≤51 mm, Quartile 4: LVEDD >51 mm) and were categorized into two groups (Quartile 1–3 versus Quartile 4). Survival curves were generated with the Kaplan-Meier analysis, and the differences between groups were assessed by log-rank test. Restricted cubic splines and cox proportional hazards models were used to investigate the association with LVEDD and all-cause mortality. Results: A total of 33,147 patients (average age: 63.0 ± 10.6 years; 24.0% female) were included in the final analysis. In the average follow-up period of 5.2 years, a total of 4288 patients died. The mortality of the larger LVEDD group (Quartile 4) was significantly higher than the lower LVEDD groups (Quartile 1–3) (18.05% vs 11.15%, p < 0.001). After adjusting for confounding factors, patients with the larger LVEDD (Quartile 4) had a 1.19-fold risk for all-cause mortality (95% CI: 1.09–1.30) compared with the lower quartile (Quartile 1–3). Conclusions: Enlarged LVEDD is an independent predictor of all-cause mortality in patients with CAD. LVEDD measurements may be helpful for risk stratification and providing therapeutic targets for the management of CAD patients.